![]() ![]() Clearly communicate the results of statistical analyses to technical and non-technical audiences.Carry out a variety of statistical analyses in R and interpret the results of the analyses.Implement the computational steps involved in the management and statistical analysis of data using R.Specifically, STA130 has the following 5 Learning Objectives: Julia Lowndes' version of Grolemund & Wickham'sĬlassic R4DS schematic illustrated by 5 Learning Objectives of STA130 Communicate findings through writing and speakingĭr. Extract meaning from data through coding and analysisģ. ![]() We'll not be making you struggle to get data yourselfĢ. The philosophy and purpose of STA130Īt the highest level, the course activities are meant to develop and practice the final two steps the statistical and data science workflow: 1. ![]() ppt and pre-recording material is integrated into leveraged and reworked Rstudio Rmd and beamer pdf materials of the previous In-Person courses. The current course transitions these iterative course developments back into the previous In-Person format. From Fall 2020 to Winter 2022 it was transitioned to an Online course (e.g., W22). Prior to Winter 2020 this was an In-Person course (e.g., F18, F19, W20). Scott Schwartzĭirector, Data Science Programs for Statistical Science See you in Lecture on Monday, September 12th! The Fall 2022 term begins September 8, but we won't meet in person for a tutorial on the first Friday, September 9th instead, you are expected to use your two-hour tutorial block to review the course website and get a head start on familiarizing yourself with R based on your review of the course website. Welcome to your Fall 2022 semester and STA130! STA130 Lectures are Monday's 9:10AM/2:10PM ET for L0101/L0201, and STA130 Tutorials are Friday's 9:10AM/2:10PM ET for L0101/L0201. Fall 2022 STA130: Introduction to Statistical Reasoning and Data Science Welcome! ![]()
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